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The aim of this Special Issue is to promote intelligent condition monitoring, and act as a platform to present highquality original research on the latest developments of condition monitoring methods. We welcome both original research articles and review articles discussing the current state of the art.
Vibrationbased condition monitoring (VCM) is a wellknown and wellaccepted method for the health monitoring of rotating machines in industries. However the conventional VCM possesses some limitations in terms of using a number of vibration sensors at each bearing pedestal and sufficient experience to interpret the measured vibration data to ...
This paper deals with an inprocess measurement method for topography change of a grinding wheel, which can apply to wet grinding. A pressure sensor is set beside a grinding .
Currently, surface defect detection of stamping grinding flat parts is mainly undertaken through observation by the naked eye. In order to improve the automatic degree of surface defects detection in stamping grinding flat parts, a realtime detection system based on machine vision is designed. Under plane illumination mode, the whole region of the parts is clear and the outline is obvious ...
As grinding progresses, the metal particles get clogged into the spaces between the abrasive cutting edges of the grinding wheel. This changes the reflectivity of the grinding wheel surface. This change can be captured by using a lux meter. The paper demonstrates the usage of simple lux meter for condition monitoring of grinding wheels.
This paper deals with an intelligent multisensor monitoring system, which focus on the characteristic of transient occurrence in high speed grinding and its application to the machining of brittle and hard materials. Different sensors are used to collect workpiece vibration, acoustic emission, force and displacement signals, which are used to define the stability of grinding process and ...
Feb 05, 2007· In this paper, an analytical redundancy method using neural network modeling of the induction motor in vibration spectra is proposed for machine fault detection and diagnosis. The shorttime Fourier transform is used to process the quasisteady vibration signals to continuous spectra for the neural network model training.
Jan 01, 2010· The surface quality of the component produced mainly depends on the condition of the grinding wheel. In this paper, the working surface condition of the grinding wheel is assessed by the texture analysis methods. The grinding wheel images are captured at different time intervals using a CCD camera. Then, the captured images are preprocessed using .
Vibration based condition monitoring is the process in which the machine components are regularly checked and the condition, whether it is healthy or faulty, is checked on the basis of vibration signals got from the machine components. Vibration monitoring can be broadly carried out at three levels [1]: 1.
that condition based maintenance uses various methods of monitoring for checking the condition of the machine to determine the actual mean time for failure where as preventive maintenance depends upon industrial average life statistics. Condition based maintenance has three complimentary levels of implementations: i.
Condition Monitoring based Control using Wavelets and Machine Learning for Unmanned Surface Vehicles Abstract: This paper proposes the idea of fault detection and diagnosis for stable operation of unmanned surface vehicles (USVs). The idea of fault classification is achieved with the help of wavelet transforms and support vector machines, and ...
This paper deals with the development of an online monitoring system based on featurelevel sensor fusion and its application to OD plunge grinding. Different sensors are used to measure acoustic emission, spindle power, and workpiece vibration signals, which are used to monitor three of the most common faults in grinding—workpiece burn ...
To prevent ore from wearing out grinding mill drums, replaceable liners are inserted. ABB and Bern University of Applied Science have developed a liner wear monitoring system based on accelerometers and machine learning that identifies the best time to change the liner and thus reduce downtime costs.
article{osti_931341, title = {A WaveletBased Methodology for Grinding Wheel Condition Monitoring}, author = {Liao, T. W. and Ting, C. F. and Qu, Jun and Blau, Peter Julian}, abstractNote = {Grinding wheel surface condition changes as more material is removed. This paper presents a waveletbased methodology for grinding wheel condition monitoring based on acoustic emission .
Condition monitoring on grinding wheel wear using wavelet analysis and decision tree algorithm 1, 2 1, 2 School of mechanical and building sciences, VIT University, Vellore, India. 1 devendiran 2 kmanivannan Abstract A new online grinding wheel wear monitoring approach to detect a worn out wheel, based on
Condition monitoring is the process of determining the condition of machinery while in operation. The key to a successful condition monitoring programme includes: Knowing what to listen for; How to interpret it; When to put this knowledge to use; Successfully using this programme enables the repair of problem components prior to failure.
Increasing interest has been seen in condition monitoring (CM) techniques for electrical equipment, mainly including transformer, generator, and induction motor in power plants, because CM has the potential to reduce operating costs, enhance the reliability of operation, and improve power supply and service to customers. Literature is accumulated on developing intelligent CM systems with ...
Grinding machine condition monitoring is very important during the manufacturing process. Vibration analysis is usually used to its pattern recognition. But traditional signal analysis method limits the accuracy of recognition because of nonstationary and nonlinear characteristics. In this paper, a novel approach is presented in detail for grinding machine fault diagnosis.
Machines (ISSN ; CODEN: MACHCV) is an international peerreviewed open access journal on machinery and engineering published quarterly online by MDPI. The IFToMM are affiliated with Machines and its members receive a discount on the article processing charges.. Open Access —free for readers, with article processing charges () paid by authors or their institutions.
To maintain the quality of the component, the condition of the grinding wheel should be monitored and the periodical dressing has to be done to retain the shape and the sharpness of the cutting edges. In the present paper, the machinevisionbased texture analysis methods are introduced to discriminate the surface condition of the grinding wheel.
Condition monitoring is a very important aspect in automated manufacturing processes. Any malfunction of a machining process will deteriorate production quality and efficiency. This paper presents an application of support vector machines in grinding process monitoring. The paper starts with an overview of grinding behaviour. Grinding force is analysed through a Short Time Fourier Transform ...
This paper aims to accomplish online monitoring of precision optics grinding with processing condition factors based on theoretical analysis and through grinding experiments. The model for monitoring surface quality of optical elements online (OSQMM) which contains identification model (IM) and interpolation·factorsupport vector regression (i•fSVR) is proposed.
The book presents a wide and comprehensive review of the key areas of research in machine condition monitoring and control, before focusing on an indepth treatment of each important technique, from multidomain signal processing for defect diagnosis to webbased information delivery for .
Benchmarking methods for industrial processes. Data driven design methods. Applications of estimation theory in industrial processes or machines. Condition Monitoring and Fault Monitoring. Model based fault detection and isolation. Neural network based fault detection. Statistical process control. Nonlinear or robust fault monitoring.
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